Bassem Ben Cheikh

1.6k total citations · 1 hit paper
18 papers, 778 citations indexed

About

Bassem Ben Cheikh is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Bassem Ben Cheikh has authored 18 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Bassem Ben Cheikh's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Single-cell and spatial transcriptomics (3 papers). Bassem Ben Cheikh is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Single-cell and spatial transcriptomics (3 papers). Bassem Ben Cheikh collaborates with scholars based in France, Australia and United States. Bassem Ben Cheikh's co-authors include Daniel Racoceanu, Michael Pfeiffer, David Snead, Nasir Rajpoot, Hao Chen, Elia Bruni, Bogdan J. Matuszewski, Anton Böhm, Xiaojuan Qi and Pheng‐Ann Heng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Bassem Ben Cheikh

17 papers receiving 768 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gland segmentation in colon histology images: The glas challenge contest

2016 570 citations Korsuk Sirinukunwattana, Josien P. W. Pluim et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bassem Ben Cheikh France	6	443	344	299	157	136	18	778
Adnan Mujahid Khan United Kingdom	10	480 1.1×	330 1.0×	229 0.8×	99 0.6×	98 0.7×	15	1.2k
Maschenka Balkenhol Netherlands	13	685 1.5×	298 0.9×	530 1.8×	151 1.0×	70 0.5×	21	906
Nikolas Stathonikos Netherlands	14	508 1.1×	163 0.5×	328 1.1×	124 0.8×	78 0.6×	32	687
Marcial García‐Rojo Spain	15	349 0.8×	155 0.5×	181 0.6×	114 0.7×	109 0.8×	57	682
José E. Velázquez Vega United States	7	403 0.9×	77 0.2×	414 1.4×	120 0.8×	153 1.1×	15	821
Lichao Wang Germany	6	395 0.9×	245 0.7×	236 0.8×	83 0.5×	117 0.9×	9	696
Xiaojun Guan China	4	601 1.4×	343 1.0×	346 1.2×	119 0.8×	218 1.6×	10	924
Dyke Ferber Germany	11	579 1.3×	138 0.4×	507 1.7×	386 2.5×	129 0.9×	23	1.1k
Żaneta Świderska-Chadaj Poland	13	360 0.8×	141 0.4×	273 0.9×	103 0.7×	64 0.5×	30	582
Péter Bándi Netherlands	8	617 1.4×	292 0.8×	421 1.4×	116 0.7×	61 0.4×	15	779

Countries citing papers authored by Bassem Ben Cheikh

Since Specialization

Citations

This map shows the geographic impact of Bassem Ben Cheikh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bassem Ben Cheikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bassem Ben Cheikh more than expected).

Fields of papers citing papers by Bassem Ben Cheikh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bassem Ben Cheikh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bassem Ben Cheikh. The network helps show where Bassem Ben Cheikh may publish in the future.

Co-authorship network of co-authors of Bassem Ben Cheikh

This figure shows the co-authorship network connecting the top 25 collaborators of Bassem Ben Cheikh. A scholar is included among the top collaborators of Bassem Ben Cheikh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bassem Ben Cheikh. Bassem Ben Cheikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Ma, Ning, Bassem Ben Cheikh, Jacky Y. Suen, et al.. (2024). Protocol for high-plex, whole-slide imaging of human formalin-fixed paraffin-embedded tissue using PhenoCycler-Fusion. STAR Protocols. 5(3). 103226–103226. 8 indexed citations

Nandigama, Rajender, Bassem Ben Cheikh, Friedrich Grimminger, et al.. (2024). Abstract 5507: High-resolution spatial atlas reveals insight into spatial landscape of lung cancer and chronic lung diseases. Cancer Research. 84(6_Supplement). 5507–5507.

Pratapa, Aditya, Ning Ma, Bassem Ben Cheikh, et al.. (2023). Spatial phenotyping of cytokine signatures reflecting the immunotherapy responses in head and neck cancer. The Journal of Immunology. 210(Supplement_1). 171.09–171.09. 1 indexed citations

Cheikh, Bassem Ben, et al.. (2023). Abstract 4703: Applying spatial omics and computational integrative analyses to study drug responses and cancer immune cell interactions. Cancer Research. 83(7_Supplement). 4703–4703. 1 indexed citations

Sadeghirad, Habib, Ning Liu, James Monkman, et al.. (2023). Compartmentalized spatial profiling of the tumor microenvironment in head and neck squamous cell carcinoma identifies immune checkpoint molecules and tumor necrosis factor receptor superfamily members as biomarkers of response to immunotherapy. Frontiers in Immunology. 14. 1135489–1135489. 20 indexed citations

Cheikh, Bassem Ben, Aditya Pratapa, Anand Bhaskar, et al.. (2022). Abstract 3877: Deep ultrahigh-plex spatial phenotyping of human cancer tissues. Cancer Research. 82(12_Supplement). 3877–3877. 5 indexed citations

Gouin, Kenneth, Nathan Ing, Jasmine Plummer, et al.. (2021). An N-Cadherin 2 expressing epithelial cell subpopulation predicts response to surgery, chemotherapy and immunotherapy in bladder cancer. Nature Communications. 12(1). 4906–4906. 103 indexed citations

Medrano, Ruan F.V., et al.. (2021). 309 Visualizing the immunotherapy-induced spatial reorganization of the tumor-immune microenvironment by CODEX multiplex imaging. Regular and Young Investigator Award Abstracts. A334–A334. 1 indexed citations

Agarwal, Neeraj, Sébastien Rinaldetti, Bassem Ben Cheikh, et al.. (2021). TRIM28 is a transcriptional activator of the mutant TERT promoter in human bladder cancer. Proceedings of the National Academy of Sciences. 118(38). 42 indexed citations

10.

Cheikh, Bassem Ben, et al.. (2017). Spatial interaction analysis with graph based mathematical morphology for histopathology. 813–817. 3 indexed citations

11.

Cheikh, Bassem Ben, Alain Coron, Junji Machi, et al.. (2017). Notice of Removal: Relating quantitative ultrasound parameters to histologic texture parameters in cancerous human lymph nodes. 2017 IEEE International Ultrasonics Symposium (IUS). 1–1. 1 indexed citations

12.

Cheikh, Bassem Ben, et al.. (2017). A model of tumor architecture and spatial interactions with tumor microenvironment in breast carcinoma. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10140. 101400C–101400C. 5 indexed citations

13.

Sirinukunwattana, Korsuk, Josien P. W. Pluim, Hao Chen, et al.. (2016). Gland segmentation in colon histology images: The glas challenge contest. Medical Image Analysis. 35. 489–502. 570 indexed citations breakdown →

14.

Cheikh, Bassem Ben, et al.. (2016). A tomographical reconstruction method from unknown direction projections for 2D gray-level images. Pattern Recognition Letters. 86. 49–55. 4 indexed citations

15.

Cheikh, Bassem Ben, Philippe Bertheau, & Daniel Racoceanu. (2016). A structure-based approach for colon gland segmentation in digital pathology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9791. 97910J–97910J. 9 indexed citations

16.

Cheikh, Bassem Ben, Philippe Bertheau, & Daniel Racoceanu. (2015). Preliminary approach for crypt detection in Inflammatory Bowel Disease. 138–139. 1 indexed citations

17.

Cheikh, Bassem Ben, et al.. (2015). Joint direction and volume tomographical Ab-initio reconstruction for electron microscopy. HAL (Le Centre pour la Communication Scientifique Directe). 1040–1043. 1 indexed citations

18.

Cheikh, Bassem Ben, et al.. (2014). A tomographical reconstruction method from unknown direction projections for 2D gray-level images. 220. 209–212. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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